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Sid Patil — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Programming Languages →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
learning-path.dev ↗	66 match 2 shared topics	Learning Path	en	technology-and-computing	robotsllmsaihumans	emailphone	none
kartikarora.me ↗	64 match 2 shared topics	Kartik Arora \| Home	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
abdelrahman-elkady.tech ↗	64 match 2 shared topics	Home \| Abdelrahman Elkady	en	technology-and-computing	robotsllmsaihumans	emailphone	none
lawrencefoley.com ↗	64 match 2 shared topics	Home \| Lawrence Foley	en	technology-and-computing	robotsllmsaihumans	emailphone	none
milles.io ↗	64 match 2 shared topics	totti288 (Torsten Milles) · GitHub	en	programming-languages	robotsllmsaihumans	emailphone	none
devleader.ca ↗	64 match 2 shared topics	Dev Leader -- C# and .NET Software Engineering	Canada en	programming-languages	robots llmsaihumans	emailphone	none
learn-android-easily.com ↗	64 match 2 shared topics	Android Tutorials for Beginners	en	programming-languages	robotsllmsaihumans	emailphone	none
namanvashistha.com ↗	63 match 2 shared topics	Naman Vashistha	en	programming-languages	robotsllmsaihumans	emailphone	none
kanishkagarwal.dev ↗	63 match 2 shared topics	Kanishk Agarwal	en	technology-and-computing	robotsllmsaihumans	emailphone	none
deanattali.com ↗	63 match 2 shared topics	Dean Attali - R-Shiny consultant	en	technology-and-computing	robotsllmsaihumans	emailphone	none
fkcodes.com ↗	63 match 2 shared topics	Forrest Knight - Developer & Creator	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
letfoo.dev ↗	63 match 2 shared topics	let foo	en	programming-languages	robotsllmsaihumans	emailphone	none
engineerlondon.co.uk ↗	63 match 2 shared topics	Engineer London -> Dublin \| Software engineer from London now living in Dublin.	United Kingdom en	programming-languages	robotsllmsaihumans	emailphone	none
garthkerr.uk ↗	63 match 2 shared topics	Garth Kerr	United Kingdom en	programming-languages Ghost	robotsllmsaihumans	emailphone	none
flemingp.com ↗	63 match 2 shared topics	Fleming Patel	en	programming-languages	robotsllmsaihumans	emailphone	none
cskarolvargas.com ↗	63 match 2 shared topics	Portfolio Blog \| Karol Vargas	en	programming-languages	robotsllmsaihumans	emailphone	none
learnsoftechs.com ↗	63 match 2 shared topics	- Learn Software Technologies	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
programmingzen.com ↗	63 match 2 shared topics	Programming Zen - Musings About Programming and Technology	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.